Manoj Acharya

Critic
DISC Type : C

Advanced Computer Scientist at SRI International

Mountain View, California, United States

Overview

Manoj Acharya is an Advanced Computer Scientist at SRI International, specializing in foundation models and robust AI. With a Ph. D. from Rochester Institute of Technology, his expertise spans multimodal learning, NLP, and Large Language Models, honed through research and roles at institutions like Amazon.

Outside of work, Manoj is an avid hiker, traveler, and photographer. He is a passionate soccer fan, specifically of Manchester United, and enjoys watching movies and TV shows. He maintains a strong connection to his home country, Nepal, visiting to connect with friends and collaborators.

He is a vocal advocate for ML researchers releasing working code and UI artifacts to make their work more accessible to the general public.

Personality Overview

Information Seeker

Objective Thinker

ROI Driven

They prefer to do logical analysis and value evidence over emotions.  They don’t appreciate bells and whistles unless backed by data. They enjoy working alone and do not rely on others very often.

Topics They Care About

Robust & Reliable AI
His current role and research focus on building trustworthy AI systems, including developing privacy frameworks for Large Language Models.
Multimodal Learning
His doctoral research and ongoing work center on combining language and vision to develop more sophisticated and flexible AI systems.
Open-Source Research
He publicly advocates for researchers to release working code and user interfaces for their papers to increase accessibility and impact.

Media Appearances

Manoj has no verified media appearances

Work History

6-2023
Advanced Computer Scientist at SRI International
4-2023 - 6-2023
Professional development at Career Break
7-2022 - 3-2023
Applied Scientist at Amazon
6-2017 - 7-2022
Graduate Research Assistant at Rochester Institute of Technology
8-2018 - 12-2018
Graduate Teaching Assistant (Deep Learning) at Rochester Institute of Technology

Education

2016 - 2021
Doctor of Philosophy (Ph.D.) from Rochester Institute of Technology
2009 - 2013
Bachelor of Engineering - BE from Tribhuvan Vishwavidalaya ( IOE,Pulchowk)

More Information

Social Presence :

Prographics :

Exp : 5 Location : Mountain View, California, United States Job Level : N/A Designation : Advanced Computer Scientist at SRI International
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Insights For Selling To Manoj

During A Call Or A Meeting

DO's

  • Be formal and objective, they will appreciate it more
  • Use phrases like ‘expect X% improvement’, ‘data clearly shows’ etc.
  • Keep some extra margin while sharing pricing, they are likely to negotiate later

DONT's

  • Don’t rush them till they have clearly gotten all the necessary information
  • Do not use very emotional or colorful language
  • Don’t try to give too many examples of other users, they like to make their own decisions

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Manoj is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Manoj

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Manoj move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Manoj take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Manoj

Personality Compatibility


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